Private traits and attributes are predictable from digital records of human behavior | Proceedings of the National Academy of Sciences

Private traits and attributes are predictable from digital records of human behavior | Proceedings of the National Academy of Sciences: We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age, and gender.